Oct 24, 2019 · To deal with the considerable amount of big data in the ETL process, we propose D_ELT (delayed extracting–loading –transforming) by utilizing ...
Jun 23, 2024 · To deal with the considerable amount of big data in the ETL process, we propose D_ELT (delayed extracting–loading –transforming) by utilizing ...
MapReduce-Based D_ELT Framework to Address the Challenges of Geospatial Big Data ... challenges focused on geospatial big data, big earth data, data ...
To deal with the considerable amount of big data in the ETL process, we propose D_ELT (delayed extracting–loading –transforming) by utilizing MapReduce-based ...
Detail. List. Journal Article MapReduce-Based D_ELT Framework to Address the Challenges of Geospatial Big Data. Cited 9 time in scopus Download 132 time Share ...
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To deal with the considerable amount of big data in the ETL process, we propose D_ELT (delayed extracting–loading –transforming) by utilizing MapReduce-based ...
High-Performance Geospatial Big Data Processing System Based on MapReduce ... MapReduce-Based D_ELT Framework to Address the Challenges of Geospatial Big Data.
MapReduce-Based D_ELT Framework to Address the Challenges of Geospatial Big Data. by Junghee Jo and Kang-Woo Lee. ISPRS Int. J. Geo-Inf. 2019, 8(11), 475 ...
Aug 12, 2020 · Map Reduce-Based D_ELT Framework to Address the Challenges of Geospatial Big Data. ... big array-based climate data with MapReduce. Int. J ...
Jan 20, 2021 · -W. Lee, ''MapReduce-based D_ELT framework to address the challenges of geospatial big data,'' ISPRS Int. J. Geo-Inf., vol. 8, no. 11, p ...